17 research outputs found

    ์ง€๊ตฌํ†ต๊ณ„ํ•™์  ๋ถˆํ™•์‹ค์„ฑ ์ถ”์ • ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ๋‹ค์ค‘ ๊ณต๊ฐ„์ž๋ฃŒ ํ†ตํ•ฉ : ์‚ฐ์‚ฌํƒœ ์ทจ์•ฝ์„ฑ ๋ถ„์„๊ณผ ํ† ์ง€ ํ”ผ๋ณต ๋ถ„๋ฅ˜์—์˜ ์ ์šฉ

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    Thesis(doctoral)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณผํ•™๊ต์œก๊ณผ ์ง€๊ตฌ๊ณผํ•™์ „๊ณต,2004.Docto

    ๋‹ค์ค‘ ์ง€๊ตฌ๊ณผํ•™ ์ž๋ฃŒ ๊ณต๊ฐ„ ํ†ตํ•ฉ ์ •๋ณด์˜ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณผํ•™๊ต์œก๊ณผ ์ง€๊ตฌ๊ณผํ•™์ „๊ณต,1999.Maste

    An Application of GIS for Analyzing Earth Science Data

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    GIS has been regarded as one of important tools or methodologies for various earth science applications. Recently, spatial data integration schemes using multiple earth science data sets are newly developed and utilized. For this task, research-based approaches for statistical assessments between integrated layers and input layers are not fully considered yet. Moreover, these kinds of approaches are somewhat insufficient Quantitative assessment of integrated layers towards known targets and the GIS analysis scheme is rarely extended to scientific approaches. Related to this point, this study primarily performed spatial data integration using multiple earth science data sets by a known integration scheme (CF estimation). In addition, statistical information extraction with respect to relationships among used data sets and integrated layers was carried out. Also, a simple approach of multi-buffer zone analysis, related to the GIS analytical aspect, was addressed and applied. This kind of approach provides a decision-making information in the viewpoint of GIS and ๋จธso shows exploratory data analysis in conjunction with GIS and earth science application. In addition, analytical methodologies associated with GIS are thought to be helpful to analyze earth science data.์ด ์—ฐ๊ตฌ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฌ๋ฒ”๋Œ€ํ•™ ๋ถ€์„ค ๊ณผํ•™๊ต์œก์—ฐ๊ตฌ์†Œ ์—ฐ๊ตฌ๋น„ ์ง€์›์— ์˜ํ•˜์—ฌ ์ด๋ฃจ์–ด์กŒ๋‹ค
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